Abstract
This article assesses the costs and benefits of incorporating battery energy storage systems (BESS) in transmission network expansion planning (TEP) over multiple time periods. We propose a mixed-integer programming model (MIP) for joint planning of the installation of battery energy storage systems (BESS) and construction of new transmission lines in multiple periods of time. The mathematical formulation of the presented model is based on the strategies of the agents of a transmission network to maximize their benefit, and on the operational restrictions of the power flows in transmission networks. This analysis is performed for the Garver 6 node test system takes into account the power losses in the lines and the restrictions for the energy stored in BESS. The power flows obtained with the MIP model are compared with AC power flows generated with specialized software for flows in power systems. This allows us to demonstrate the potential of models based on DC power flows to achieve approximate results applicable to the behavior and characteristics of real transmission networks. The results show that the BESS increase the net profit in the transmission networks and reduce their power losses.
Highlights
We present the mathematical formulation for transmission expansion planning (TEP) with new lines and battery energy storage systems (BESS) in multiple planning periods, indicators to evaluate the operational and economic performance of the expansion of transmission networks and the results and analysis obtained when implementing the TEP model developed in the Garver 6 node test system
For the Garver 6 node test system presented in Figure 2, the problem to be solved is to establish the equilibrium point between the power delivered by the generators and BESS and the power demanded by the loads and BESS (Demands in the electricity electricity market) and the power demanded by the loads and BESS (Demands in the electricity market)
From the results developed in GAMS, it is observed that the added social benefit is maximized when three lines are built in the expansion process, two lines between nodes 2–6 and one line between nodes 4–6
Summary
Transmission expansion planning (TEP) is an optimal means of selection for the construction of new transmission lines [1]. A solution that the literature presents to give greater flexibility to the implementation of the results of a TEP model is the integration of battery energy storage systems with batteries (BESS) [6]. Obtaining optimal expansion strategies that manage the high penetration of renewable energy sources and the integration of new agents (distributed systems, energy storage, etc.) [11]. This contributes to flattening the load curve to manage greater energy efficiency and stability in the network [12]
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